LEDPUF: Stability-guaranteed physical unclonable functions through locally enhanced defectivity

Wei-Che Wang, Y. Yona, S. Diggavi, Puneet Gupta
{"title":"LEDPUF: Stability-guaranteed physical unclonable functions through locally enhanced defectivity","authors":"Wei-Che Wang, Y. Yona, S. Diggavi, Puneet Gupta","doi":"10.1109/HST.2016.7495551","DOIUrl":null,"url":null,"abstract":"Stability has always been one of the major limitations that constraints Physical Unclonable Function (PUF) from being put in widespread practical use. In this paper, we propose a weak PUF and a strong PUF that are both completely stable with 0% intra-distance. These PUFs are called Locally Enhanced Defectivity Physical Unclonable Function (LEDPUF). A LEDPUF is a pure functional PUF which eliminates the instability of conventional parametric PUFs, therefore no helper data, fuzzy comparator, or any kinds of correction schemes are required. The source of randomness is extracted from Directed Self Assembly (DSA) process, and connections that are permanently closed or opened are formed randomly. The weak LEDPUF is constructed by forming arrays of DSA random connections, and the strong LEDPUF is implemented by using the weak LEDPUF as the key of a keyed-hash message authentication code (HMAC). Our simulation and statistical results show that the entropy of the weak LEDPUF bits is close to ideal, and the inter-distances of both weak and strong LEDPUFs are about 50%, which means that these LEDPUFs are not only stable but also unique.","PeriodicalId":194799,"journal":{"name":"2016 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HST.2016.7495551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Stability has always been one of the major limitations that constraints Physical Unclonable Function (PUF) from being put in widespread practical use. In this paper, we propose a weak PUF and a strong PUF that are both completely stable with 0% intra-distance. These PUFs are called Locally Enhanced Defectivity Physical Unclonable Function (LEDPUF). A LEDPUF is a pure functional PUF which eliminates the instability of conventional parametric PUFs, therefore no helper data, fuzzy comparator, or any kinds of correction schemes are required. The source of randomness is extracted from Directed Self Assembly (DSA) process, and connections that are permanently closed or opened are formed randomly. The weak LEDPUF is constructed by forming arrays of DSA random connections, and the strong LEDPUF is implemented by using the weak LEDPUF as the key of a keyed-hash message authentication code (HMAC). Our simulation and statistical results show that the entropy of the weak LEDPUF bits is close to ideal, and the inter-distances of both weak and strong LEDPUFs are about 50%, which means that these LEDPUFs are not only stable but also unique.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
LEDPUF:通过局部增强缺陷来保证稳定性的物理不可克隆功能
稳定性一直是制约物理不可克隆函数(PUF)广泛应用的主要限制之一。在本文中,我们提出了一个弱PUF和一个强PUF,它们在0%内距离下都是完全稳定的。这些puf被称为局部增强缺陷物理不可克隆功能(LEDPUF)。LEDPUF是一种纯功能PUF,它消除了传统参数PUF的不稳定性,因此不需要辅助数据、模糊比较器或任何类型的校正方案。从定向自组装(DSA)过程中提取随机性来源,随机形成永久关闭或永久打开的连接。弱LEDPUF通过形成DSA随机连接数组来构建,强LEDPUF通过使用弱LEDPUF作为密钥哈希消息认证码(HMAC)的密钥来实现。我们的仿真和统计结果表明,弱LEDPUF比特的熵接近理想值,弱LEDPUF和强LEDPUF之间的距离都在50%左右,这意味着这些LEDPUF不仅稳定而且具有唯一性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
SDSM: Fast and scalable security support for directory-based distributed shared memory Granularity and detection capability of an adaptive embedded Hardware Trojan detection system Adaptive real-time Trojan detection framework through machine learning Parsimonious design strategy for linear layers with high diffusion in block ciphers Hardware security risk assessment: A case study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1